Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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troubleshooting
A robust troubleshooting framework. Use this skill anytime the user reports something isn't working, is buggy, or is throwing errors.
majiayu000/claude-skill-registry 163
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architecture-strategist
Use this agent when analyzing code changes from an architectural perspective, evaluating system design decisions, or ensuring changes align with established architectural patterns. Triggers on requests like "architecture review", "design evaluation", "system architecture analysis".
majiayu000/claude-skill-registry 163
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ecs-cli-reference
AWS CLI ECS command reference. Use when understanding how users interact with ECS via AWS CLI, including command syntax, options, examples, and output formats. Essential for KECS compatibility.
majiayu000/claude-skill-registry 163
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retention-ltv-playbook
Lifecycle frameworks for driving repeat purchase, loyalty, and subscription value.
majiayu000/claude-skill-registry 163
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ln-130-tasks-docs-creator
Creates task management documentation (docs/tasks/README.md + kanban_board.md). L2 Worker in ln-100-documents-pipeline. Sets up Linear integration and task tracking rules.
majiayu000/claude-skill-registry 163
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fastapi-expert
Expert-level FastAPI development for high-performance Python APIs with async support
majiayu000/claude-skill-registry 163
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scikit-survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
majiayu000/claude-skill-registry 163
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working-in-scratch-areas
Use when creating one-off scripts, debug tools, analysis reports, or temporary documentation - ensures work is saved to persistent .scratch areas with proper documentation, organization, and executable patterns
majiayu000/claude-skill-registry 163
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Leavn Build Diagnostics
You are the build system health expert for the Leavn iOS app.
majiayu000/claude-skill-registry 163
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unsloth-quantization-cuba6112-skillfactory-2
majiayu000/claude-skill-registry 163
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serena-mcp-agent
Expert integration for the Serena MCP Server - a powerful coding agent toolkit providing IDE-like semantic code understanding to LLMs. This skill should be used when working with codebases through Serena tools, setting up Serena projects, performing semantic code navigation and editing, managing project memories, debugging complex automation workflows, or integrating Serena with Claude Desktop, Claude Code, Codex, ChatGPT, or custom agents. Triggers on Serena tool usage, project activation/onboarding, symbolic code operations (find_symbol, replace_symbol_body, etc.), memory management (write_memory, read_memory), and MCP server configuration. Use for large/complex codebases requiring structural understanding, refactoring tasks, and token-efficient code operations.
majiayu000/claude-skill-registry 163
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storyboard-generator
Create detailed storyboards from ad scripts with 2-4 second elements, B-roll specs, and AI generation prompts. Use when preparing scripts for editors, planning video shoots, or generating production-ready creative specs.
majiayu000/claude-skill-registry 163
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context-health
Use when validating or diagnosing the cortex environment (consistency, duplicates, redundancy, optimization) - provides a diagnostic workflow and reporting structure for context health checks.
majiayu000/claude-skill-registry 163
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historical-backfill-execution
Execute chunked historical blockchain data backfills using canonical 1-year pattern. Use when loading multi-year historical data, filling gaps in ClickHouse, or preventing OOM failures on Cloud Run. Keywords chunked_backfill.sh, BigQuery historical, gap filling, memory-safe backfill.
majiayu000/claude-skill-registry 163
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ac-qa-reviewer
Quality assurance review for implementations. Use when reviewing code quality, checking implementation standards, performing QA cycles, or validating feature quality.
majiayu000/claude-skill-registry 163
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agent-ops-git-analysis
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
majiayu000/claude-skill-registry 163
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Unity Scene Optimizer
Analyzes scenes for performance bottlenecks (draw calls, batching, textures, GameObjects). Use when optimizing scenes or investigating performance issues.
majiayu000/claude-skill-registry 163
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marketplace-liquidity
Help users build and manage marketplace liquidity. Use when someone is working on a marketplace business, struggling with supply/demand balance, trying to improve match rates, or asking how to reach critical mass in a two-sided market.
majiayu000/claude-skill-registry 163
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building-ai-chat
Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.
majiayu000/claude-skill-registry 163
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running-clustering-algorithms
This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.
majiayu000/claude-skill-registry 163
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bio-read-qc-adapter-trimming
Remove sequencing adapters from FASTQ files using Cutadapt and Trimmomatic. Supports single-end and paired-end reads, Illumina TruSeq, Nextera, and custom adapter sequences. Use when FastQC shows adapter contamination or before alignment of short reads.
majiayu000/claude-skill-registry 163
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temporal-evaluation
Calculates time-based task status including overdue detection, urgency levels (urgent/upcoming/soon), and relative time displays. Updates temporal status every 60 seconds with timezone-aware comparisons and edge case handling for tasks without due dates.
majiayu000/claude-skill-registry 163
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Python Backend Architecture Review
Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, analyze, or provide feedback on backend architecture designs, system design documents, or Python application architecture. Covers scalability, security, performance, database design, API design, microservices patterns, deployment architecture, and best practices.
majiayu000/claude-skill-registry 163
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clickhouse-streaming
Use when ingesting continuous data streams from Kafka, RabbitMQ, or Kinesis into ClickHouse. Covers backpressure handling, exactly-once semantics, stream processing patterns, and performance optimization. NOT for database replication (see clickhouse-cdc) or batch ETL (see clickhouse-patterns).
majiayu000/claude-skill-registry 163